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Practice Data Analytics Languages Questions and Answers

Which of the following functions in Excel is used to combine data from multiple columns into one?
A financial organization is aiming to reduce operational costs by analyzing transactional data to identify inefficiencies. Which of the following roles sho...
During the data analysis process, which of the following steps is primarily focused on removing inaccuracies and ensuring the dataset's reliability?
To help a retail business increase its conversion rate, a data analyst should start by defining which of the following metrics?
Which of the following techniques is most suitable for handling and organizing an unstructured dataset with textual data?
A data analyst has generated insights on customer retention trends. To effectively communicate these insights, which of the following techniques would be m...
A data analyst at a bank is tasked with developing a credit scoring model to assess loan applicants' eligibility. Which of the following statistical method...
A hospital data analyst is tasked with building a model to predict patient readmission rates based on historical data. Which method should the analyst prio...
An e-commerce company wants to understand the trend of holiday season sales over the past decade to forecast future sales. Which analysis method should the...
In developing a fraud detection model for online transactions, a data analyst should use a technique capable of identifying anomalous patterns. Which of th...
A retailer wants to segment its customers to optimize targeted marketing campaigns. Which of the following approaches would be most effective for customer ...
A company wants to analyze customer reviews by categorizing them as “Positive,” “Neutral,” or “Negative.” What type of data are these categorie...
When dealing with data from a social media platform that includes posts, images, and metadata, what type of data format is this dataset classified as?
Which of the following is an example of an independent variable in a data analysis model that predicts employee productivity based on training hours?
Which of the following statements best describes the primary difference between big data and traditional data?
In data management, what role does metadata play when working with a large dataset of customer transactions?
Which of the following is the primary benefit of using APIs over web scraping for data collection from a website?
In data cleaning, which technique is most effective in handling outliers in a dataset that could skew analysis?
When integrating multiple datasets, which approach helps resolve inconsistencies and create uniformity across all data sources?
Which data transformation technique would be best for converting categorical variables, such as “Gender” (Male, Female), into a format usable in machin...
To ensure data is accurate and complete before beginning analysis, which data validation technique is most commonly used?
In data analysis, why is sampling often preferred over analyzing an entire population?
What is a key difference between random sampling and non-random sampling?
Which sampling technique is most suitable when a population has distinct subgroups that should be represented proportionally?
Which method helps to reduce bias when creating a sample from a population for analysis?
Which of the following factors should primarily determine the sample size in a data analysis project?
Why is Exploratory Data Analysis (EDA) considered a crucial step in the data analysis process?
Which measure of central tendency is most appropriate when data has extreme outliers?
Which type of data visualization is most useful for identifying the relationship between two continuous variables?
In hypothesis testing, what does a low p-value (e.g., p < 0.05) suggest about the null hypothesis?
When using descriptive statistics, which measure is best for understanding data variability?
In time series analysis, which component is best described as the long-term movement in data values that is not affected by seasonal or random fluctuations...
Which of the following methods is most commonly used for ensuring that time series data is stationary?
In time series forecasting, which method combines the concepts of autoregression and moving averages with differencing to make non-stationary data stationa...
Which test is commonly applied in time series analysis to determine whether a series is stationary?
Which forecasting method is most appropriate for time series data with a consistent trend but no seasonality?
In Excel, you want to summarize sales data by region and product category, displaying the sum of sales for each combination. Which feature should you use f...
In SQL, which type of JOIN will return all rows from the left table and the matching rows from the right table, filling with NULLs where there is no match?
Which Python library is primarily used for data manipulation and analysis, offering tools for reshaping, merging, and aggregating datasets?
Which statistical language is widely used for performing advanced statistical operations and visualizations, particularly popular in academia and research?

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